Post #42686

2025-12-08 19:30 UTC

You are in a way correct. If you keep sending the context of the “conversation” it will reinforce its previous implementation. But once you start a new conversation "meaning you fint give any previous chat history " it’s essentially a new ai. With a new random seed and if you ask that to look for mistakes etc it will happily tell you that the last Implementation was all wrong and here’s how to fix it. It’s like a minecraft world, same seed will get you the same map every time. So with AIs it’s the same thing ish. start a new conversation or ask a different model (gpt, Google, Claude etc) and it will do things in a new way.

Replies (2)

@BarneyPiccolo@lemmy.today 2025-12-08 20:00

Maybe the solution is to keep sending the code through various AI requests, until it either gets polished up, or gains sentience, and destroys the world. 50-50 chance. This stuff ALWAYS ends up destroying the world on TV. Seriously, everybody is complaining about the quality of AI product, but the whole point is for this stuff to keep learning and improving. At this stage, we’re expecting a kindergartener to product the work of a Harvard professor. Obviously, were going to be disappointed. But give that kindergartener time to learn and get better, and they’ll end up a Harvard professor, too. AI may just need time to grow up. And frankly, that’s my biggest worry. If it can eventually start producing results that are equal or better than most humans, then the Sociopathic Oligarchs won’t need worker humans around, wasting money that could be in their bank accounts. And we know what their solution to that problem will be.

Open ##42754
@TheBlackLounge@lemmy.zip 2025-12-08 20:31

Doesn’t work. Any semi complex problem with multiple constraints and your team of AIs keeps running circles. Very frustrating if you know it can be done. But what if you’re a “fractional CTO” and you get actually contradictory constraints? We haven’t gotten yet to AIs who will tell you that what you ask is impossible.

Open ##42839